AI/ML Solution Architect

What you’ll own.

• Conduct AI readiness assessments covering use cases, data availability, platform maturity, security, workforce capability, governance, ethics, and expected value.
• Facilitate workshops to identify, prioritize, and validate AI/ML and generative-AI use cases.
• Develop AI business cases, ROI projections, implementation roadmaps, architecture options, and pilot recommendations.
• Design AI/ML solution architectures using Azure OpenAI, AWS Bedrock, Vertex AI, Azure Machine Learning, SageMaker, or comparable platforms.
• Define RAG patterns, model access patterns, vector database architecture, content controls, data-security controls, evaluation criteria, monitoring, and human-review workflows.
• Ensure designs incorporate privacy, data classification, model governance, explainability, bias mitigation, and auditability.

Experience that prepares you for the work.

8+ years in software, data, analytics, cloud, or solution architecture; 3+ years in AI/ML, advanced analytics, data science, or AI platform implementation. Experience with LLMs, RAG, vector databases, ML lifecycle controls, and AI governance preferred.